How does this beard filter work?

Upload one portrait, then choose one of two modes: predefined beard style or reference template image. The model generates a beard simulation based on the selected mode.

What beard parameter values are supported?

Supported beard values include FullBeardClassic, CorporateBeard, Garibaldi, Verdi, FullBeardTapered, VanDyke, Bandholz, VanDykeRefined, Goatee, ExtendedGoatee, Balbo, AnchorBeardClean, DucktailBeardPointed, AnchorBeardFull, DucktailBeardFull, HeavyStubble, ChevronMoustache, HandlebarMoustache, ImperialMoustache, CircleBeard, ChinStrap, MuttonChops, SoulPatch, and PetiteGoatee.

Can I upload my own beard template image?

Yes. In template mode, you can upload a reference beard image. The request passes image_template_url to the backend.

Do I need to provide both beard and image template?

No. The workflow is mutually exclusive: choose predefined beard mode or template-image mode, not both at once.

鬍鬚模擬器

開發者 API：快速將 AI 功能整合到您的應用程式中 · 鬍鬚模擬器 API

查看 API 文件 · 鬍鬚模擬器 API

人像圖像*

上傳人像圖像

或拖曳圖片至此

嘗試範例圖像

Reference Beard Image*

上傳鬍鬚模板圖

或拖曳圖片至此

嘗試範例圖像

AI 鬍鬚效果預覽

Try beard transformations from one portrait input. Switch between preset beard styles and reference template mode to test multiple looks quickly.

beard and image template mutually exclusive

如何使用 AI 鬍鬚模擬器

Upload your portrait, choose mode, and generate result. The process is optimized for fast style comparison and repeatable output.

Upload Portrait

Upload a clear front-facing portrait with visible jawline and chin area.

Choose Beard Mode

Select predefined beard style mode or reference-template mode. Each mode uses a different backend parameter path.

Download Result

Generate and download beard simulation results for styling tests and consultation use.

預設參數與模板圖雙模式

Predefined beard style selection

Pick from structured beard parameters such as FullBeardClassic, VanDyke, Balbo, CircleBeard, and PetiteGoatee. This mode is ideal for standardized comparisons.

Reference image template mode

Upload your own beard template image when you need a custom direction. The system sends image_template_url and applies a template-guided transformation.

Mutually exclusive parameter logic

The product enforces a clean two-path input rule: either beard parameter mode or template-image mode, helping teams maintain predictable request semantics.

API-ready portrait workflow

The same workflow is easy to integrate into apps, creator tools, and consultation systems, with straightforward payload construction and stable async behavior.

AI 鬍鬚造型 API

支援兩種鬍鬚模擬路徑：預設鬍型參數或參考範本圖模式。

核心能力：

面向 AI 鬍鬚造型情境的生產級影像生成流程。

整合方式：

採用標準 REST 請求 + 非同步任務輪詢模型，方便後端快速整合。

適用情境：

適用於創作者工具、消費型應用與企業自動化流程。

擴展能力：

針對高併發影像任務設計，回傳結構穩定且可預期。

開發支援：

完整請求與回應欄位請參考官方 API 文件。

API 文件

Beard Filter 常見問題

Can I use predefined beard styles only?

Yes. Switch to preset mode and choose a predefined beard parameter such as Goatee, VanDyke, or MuttonChops.

Can I upload my own beard reference image?

Yes. Template mode allows custom reference upload and sends image_template_url to the backend.

Should I send beard and image_template_url together?

No. Use one mode only. The product is designed as a strict either-or input flow.

What image quality is recommended?

Use a high-resolution front-facing portrait with visible chin and jaw area for more stable beard rendering.

Is API integration supported?

Yes. You can reuse the same product flow through API in apps, dashboards, and SaaS tools.